Conference

AVIOS Conversational Interaction Conference

Feb. 10-11, 2020

Doubletree Hotel, San Jose, CA

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Making the Case for Natural Language Processing in 2020 - Tuesday, February 11th @ 9:25 AM

From the earliest chatbots, businesses have attempted to ride the crest of the Artificial Intelligence wave to increase their ability to engage with their customers. But conversational systems using Natural Language Processing (NLP) exist in a wide variety of capabilities and quality, and the user experience with NLP can either delight or disappoint. This presentation will focus on the current state of the art in conversational technologies, the challenges facing the business undergoing a digital transformation, and the enduring role of human understanding.

Lisa

Dr. Lisa Michaud

Sr. Product Manager
Dr. Lisa Michaud holds a Ph.D. in Computer Science and has worked with Natural Language Processing (NLP) technology and research for more than 20 years. After a first career in academia during which she published in multiple international journals, workshops, and conferences, she transitioned to the software industry and engaged in the challenges of applying NLP to enterprise needs in the contact center space. She was a key contributor to the expansion of a IVR platform to enable fully conversational self-service interactions, has led teams of linguists and software developers working on engines to fully understand the intent of customer utterances, and has established herself as a thought leader in conversational AI challenges, technology, and best practices. She now holds the position of Senior Product Manager at Interactions LLC, where she leads the Intelligent Virtual Assistant (IVA) platform.

The leading edge of Artificial Intelligence

The Conversational Interaction Conference emphasizes delivering usable insights on: the state of the underlying NLU and speech recognition technology available for commercial use, tools and services that help companies use conversational technology, case studies of deployments and best practices for successful use of NLU technology.

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